Data Engineering Resources

App-specific file management may result in performance problems if the design uses the transactional database platform. Let's consider alternatives.

February 25, 2026

by Scott Sosna

CORE

· 814 Views

How to Integrate an AI Chatbot Into Your Application: A Practical Engineering Guide

A practical engineering guide to integrating an AI chatbot into your application, covering architecture, backend flow, NLP handling, security, testing, and deployment.

February 24, 2026

by Manthan Bhavsar

· 1,362 Views

Integration Reliability for AI Systems: A Framework for Detecting and Preventing Interface Mismatch at Scale

Prevent AI system failure by enforcing contract consistency across four layers: validation, testing, runtime monitoring, and fail-fast boundaries.

February 24, 2026

by Anurag Jindal

· 1,575 Views

Building Event-Driven Data Pipelines in GCP

An analysis of modernizing event-driven data pipelines using BigQuery, Firestore, and Dataflow on Google Cloud Platform (GCP).

February 24, 2026

by Krishnam Raju Narsepalle

· 1,166 Views

The DevSecOps Paradox: Why Security Automation Is Both Solving and Creating Pipeline Vulnerabilities

This article examines how DevSecOps and AI automation shifted attacks to CI/CD pipelines, making security tools themselves a growing attack surface.

February 24, 2026

by Igboanugo David Ugochukwu

CORE

· 1,589 Views · 1 Like

The AI4Agile Practitioners Report 2026

The AI4Agile Practitioners Report 2026: 83% of Agile practitioners use AI, but most spend 10% or less of their time with AI.

February 24, 2026

by Stefan Wolpers

CORE

· 2,610 Views

Azure SLM Showdown: Evaluating Phi-3, Llama 3, and Snowflake Arctic for Production

Evaluate Phi-3, Llama 3, and Snowflake Arctic. Learn to deploy cost-effective, high-performance SLMs on Azure for production workloads.

February 23, 2026

by Jubin Abhishek Soni

CORE

· 1,463 Views

Data Driven API Testing in Java with Rest-Assured and TestNG: Part 1

Learn how to perform data-driven API automation testing with Rest-Assured using object arrays and TestNG's @DataProvider annotation.

February 23, 2026

by Faisal Khatri

CORE

· 1,959 Views · 2 Likes

The Quantum Computing Mirage: What Three Years of Broken Promises Have Taught Me

Despite steady progress, quantum computing remains decades from practical advantage, with cryptography upgrades as its only near-term impact.

February 23, 2026

by Igboanugo David Ugochukwu

CORE

· 1,689 Views · 4 Likes

Agentic AI vs Copilots: The Architectural Shift from Assistance to Autonomy

The industry is shifting from copilots that simply autocomplete code to agentic systems that autonomously plan and execute multi-step workflows in a recursive loop.

February 23, 2026

by Nikita Kothari

· 1,161 Views

From Prompt Loops to Systems: Hosting AI Agents in Production

AI agents fail in production because they rely on prompts instead of systems. Without proper hosting, memory, tool access, and controls, they become unreliable.

February 23, 2026

by Amit Chaudhary

· 926 Views

Azure AI Search at Scale: Building RAG Applications with Enhanced Vector Capacity

Azure AI Search now supports massive vector scale (tens of millions per index) with better performance and cost efficiency.

February 23, 2026

by Jubin Abhishek Soni

CORE

· 939 Views

From Command Lines to Intent Interfaces: Reframing Git Workflows Using Model Context Protocol

Model Context Protocol enables intent-driven GitHub workflows in the IDE, replacing command sequences with safe, structured natural language interactions.

February 20, 2026

by Aishwarya Murali

· 1,765 Views

The Missing Primitive in Data Platforms: Agent Contracts for Tool Calls

Define agent contracts per tool, including success criteria, SLOs, golden traces, allowed data, rollback triggers, canary releases, and retry limits.

February 20, 2026

by Anusha Kovi

CORE

· 1,163 Views · 1 Like

Amazon Q Developer for AI Infrastructure: Architecting Automated ML Pipelines

Master Amazon Q Developer for ML infrastructure. Automate SageMaker pipelines, optimize GPU resources, and accelerate AI development cycles.

February 20, 2026

by Jubin Abhishek Soni

CORE

· 1,675 Views · 1 Like

Architecting Zero-Trust Database Access in Kubernetes With Vault Dynamic Secrets

Replace static passwords with dynamic, ephemeral credentials using Vault and sidecar injection to automate database security in Kubernetes workloads.

February 20, 2026

by Niranjan Kumar Sharma

· 3,633 Views · 2 Likes

Why End-to-End Testing Fails in Microservice Architectures

End-to-end testing fails in microservices due to non-determinism, complex environments, slow feedback, and unclear ownership, making tests flaky and unreliable.

February 20, 2026

by Alok Kumar

· 2,467 Views

Queueing Theory for LLM Inference

Learn how to size GPU capacity, batching, and concurrency for strict latency SLOs in production-ready LLM inference with this analysis of queuing theory applications.

February 20, 2026

by Dhyey Mavani

· 1,546 Views

From Prompts to Platforms: Scaling Agentic AI (Part 2)

Agentic AI platforms scale by combining evaluation, resilience, governance, telemetry-driven iteration, low-touch onboarding, and resource management.

February 19, 2026

by VIVEK KATARYA

· 1,967 Views · 1 Like

AWS SageMaker HyperPod: Distributed Training for Foundation Models at Scale

Master distributed training at scale with AWS SageMaker HyperPod's resilient cluster management and high-performance interconnects.

February 19, 2026

by Jubin Abhishek Soni

CORE

· 1,405 Views

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